4,013 data privacy analyst jobs in India.

... align with enterprise data governance and master data management https://jobeax.com/link/iBSKyc7607ukrYcH Skills & Experience : - 8 - 12 years of experience in Data Architecture, Data Engineering, or a closely related discipline.- Strong experience designing enterprise data models and data architectures.- Hands-on experience ...

... deployment. Prepare user training documents and related frameworks to ensure smooth adoption new applications and minimize transition risks. Mandatory Skills: DataBricks - Data Engineering. Experience: 5-8 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with ...

... Informatica and Databricks. - Build and maintain enterprise data integration frameworks supporting analytics and reporting requirements. - Develop cloud-native data solutions using Azure cloud services and modern data architectures. - Create and optimize data models to support business intelligence analytics and operational ...

... troubleshoot and tune data pipelines to ensure performance reliability and scalability. - Implement automation monitoring and operational best practices for data platforms. - Collaborate with business analysts solution architects and stakeholders to translate business requirements into technical solutions. - Ensure data ...

... management and technical leadership. Key Responsibilities 1. Data Architecture & Platform Design - Define end-to-end enterprise data architecture including modern data warehouses data lakes and lakehouse platforms. - Design scalable secure and cost-effective data solutions using Snowflake and/or Databricks. - Establish data ...

Purpose of Job We are looking for a Senior Data Engineer who is equally strong on the data side (modelling data quality SQL understanding the business) and the engineering side (Python PySpark CI/CD performance reliability). You will own the design and delivery of production data platforms from requirements to production ...

... modeling, metadata management, data lineage, data catalog implementation and Oracle SQL/PLSQL development. The Data Lead will collaborate with business stakeholders, data engineers, analysts, governance teams and enterprise Leads to deliver secure, scalable and high-quality data solutions. Data Lead is responsible for data strategy ...

Function Barco is looking for a Data Engineer to join its global Data & BI team. You will build and support enterprise data solutions that bring together SAP and non-SAP data and make it available for reporting, analytics and operational use. The role combines hands-on data engineering in Microsoft Fabric with a solid understanding ...

... align with enterprise data governance and master data management https://jobeax.com/link/iBSKyc7607ukrYcH Skills & Experience : - 8 - 12 years of experience in Data Architecture, Data Engineering, or a closely related discipline.- Strong experience designing enterprise data models and data architectures.- Hands-on experience ...

Job Description Experience the power of innovation in financial operations by joining a team dedicated to data excellence. Here, your ideas drive smarter solutions and elevate the standards of client service. Embrace the opportunity to transform how data is managed and verified, making a measurable impact on business outcomes. ...

Job Description Experience the power of innovation in financial operations by joining a team dedicated to data excellence. Here, your ideas drive smarter solutions and elevate the standards of client service. Embrace the opportunity to transform how data is managed and verified, making a measurable impact on business outcomes. ...

... teams to integrate predictive models into live production environments, ensuring low-latency performance and high reliability.- Conduct deep-dive exploratory data analysis on large-scale financial datasets to uncover hidden patterns that drive product strategy and business growth.- Partner with stakeholders to define key ...

... Accountabilities and Responsibilities (e.g., for Business, Customers and Stakeholders; internal control environment, etc.) - Having profound knowledge of reference data (Instrument) provided by market data vendors (Bloomberg, LSEG, ICE, Six Telcurs) - Initiate and then implement high-impact quality projects leading to operational ...

... documentation meets regulatory compliance and operational standards through systematic verification and audit-readiness assessment. Responsibilities - Review laboratory data packages for accuracy, completeness, and procedural compliance - Verify calculations, transcriptions, and data entries; confirm results match raw data - Conduct ...

... requirements. - Lead the design of scalable, secure, and high-performance data platforms and solutions. - Provide hands-on technical leadership across data engineering, data integration, data modeling, and data management. - Design and review data pipelines, ETL/ELT processes, data warehouses, data lakes, and modern data platforms. ...

... algorithm results and insights to stakeholders - Communicate complex analytical concepts effectively to audiences at all organizational levels through clear, data-driven storytelling Technical Responsibilities: - Perform comprehensive data exploration, preprocessing, data transformation, validation, reconciliation, feature ...

... governance frameworks, ensure compliance with data privacy regulations (GDPR, HIPAA, etc.), and maintain data quality standards. Performance Optimization: Optimize database performance, storage, and retrieval processes for high availability and scalability. Collaboration: Work closely with data engineers, analysts, and business ...

... to the design, development, implementation, optimization and troubleshooting of data solutions. The role requires strong ownership across data architecture, data modelling, batch and real-time processing, data integration, data quality, performance, security and platform engineering. You will define data models, integration ...

... make earlier and better decisions. Slate’s “Digital Assistant'' uses machine learning and AI to execute multi-dimensional analysis across internal and external data sources. This includes public data such as weather, labor, and traffic with the dark data locked in silos and non-integrated systems within their own and sub-contractor ...

... date with the latest developments in data science and machine learning https://jobeax.com/link/oLVyX1MEk3pHDZEY Stack : - Programming : Python, R, or Scala- Data Analysis : Pandas, NumPy, scikit-learn- ML Frameworks : TensorFlow, Keras, or PyTorch- Visualization : Tableau, Power BI, or Matplotlib- Databases : SQL- Big ...